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Aamir Shahzad (Aamirofficiall) wants to merge 1 commit into from
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Fix broken deepagents doc links returning 404 #2989

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2 changes: 1 addition & 1 deletion src/oss/concepts/products.mdx
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Expand Up @@ -123,7 +123,7 @@ While you can accomplish similar tasks with LangChain, LangGraph, and Deep Agent
| Skills | [Multi-agent skills](/oss/langchain/multi-agent/skills) | - | [Skills](/oss/deepagents/skills) |
| Subagents | [Multi-agent subagents](/oss/langchain/multi-agent/subagents) | [Subgraphs](/oss/langgraph/use-subgraphs) | [Subagents](/oss/deepagents/subagents) |
| Human-in-the-loop | [Human-in-the-loop middleware](/oss/langchain/human-in-the-loop) | [Interrupts](/oss/langgraph/interrupts) | [`interrupt_on` parameter](/oss/deepagents/harness#human-in-the-loop) |
| Streaming | [Agent Streaming](/oss/langchain/streaming/overview) | [Streaming](/oss/langgraph/streaming) | [Streaming](/oss/deepagents/harness#streaming) |
| Streaming | [Agent Streaming](/oss/langchain/streaming/overview) | [Streaming](/oss/langgraph/streaming) | [Streaming](/oss/deepagents/streaming/overview) |

## Learn more

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2 changes: 1 addition & 1 deletion src/oss/deepagents/overview.mdx
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Expand Up @@ -115,7 +115,7 @@ Use the **Deep Agents CLI** when you want a coding agent on the command line, bu
Deep agents include a built-in [`write_todos`](/oss/langchain/middleware/built-in#to-do-list) tool that enables agents to break down complex tasks into discrete steps, track progress, and adapt plans as new information emerges.
</Card>
<Card title="Context management" icon="scissors">
File system tools ([`ls`](/oss/deepagents/harness#file-system-access), [`read_file`](/oss/deepagents/harness#file-system-access), [`write_file`](/oss/deepagents/harness#file-system-access), [`edit_file`](/oss/deepagents/harness#file-system-access)) allow agents to offload large context to in-memory or filesystem storage, preventing context window overflow and enabling work with variable-length tool results.
File system tools ([`ls`](/oss/deepagents/harness#virtual-filesystem-access), [`read_file`](/oss/deepagents/harness#virtual-filesystem-access), [`write_file`](/oss/deepagents/harness#virtual-filesystem-access), [`edit_file`](/oss/deepagents/harness#virtual-filesystem-access)) allow agents to offload large context to in-memory or filesystem storage, preventing context window overflow and enabling work with variable-length tool results.
</Card>
<Card title="Pluggable filesystem backends" icon="plug">
The virtual filesystem is powered by [pluggable backends](/oss/deepagents/backends) that you can swap to fit your use case. Choose from in-memory state, local disk, LangGraph store for cross-thread persistence, [sandboxes](/oss/deepagents/sandboxes) for isolated code execution (Modal, Daytona, Deno), or combine multiple backends with composite routing. You can also implement your own custom backend.
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4 changes: 2 additions & 2 deletions src/oss/deepagents/quickstart.mdx
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Expand Up @@ -203,9 +203,9 @@ console.log(result.messages[result.messages.length - 1].content);

Your deep agent automatically:

1. **Plans its approach** using the built-in [`write_todos`](/oss/deepagents/harness#to-do-list-tracking) tool to break down the research task.
1. **Plans its approach** using the built-in [`write_todos`](/oss/deepagents/harness#planning-capabilities) tool to break down the research task.
1. **Conducts research** by calling the `internet_search` tool to gather information.
1. **Manages context** by using file system tools ([`write_file`](/oss/deepagents/harness#file-system-access), [`read_file`](/oss/deepagents/harness#file-system-access)) to offload large search results.
1. **Manages context** by using file system tools ([`write_file`](/oss/deepagents/harness#virtual-filesystem-access), [`read_file`](/oss/deepagents/harness#virtual-filesystem-access)) to offload large search results.
1. **Spawns subagents** as needed to delegate complex subtasks to specialized subagents.
1. **Synthesizes a report** to compile findings into a coherent response.

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2 changes: 1 addition & 1 deletion src/oss/python/releases/changelog.mdx
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Expand Up @@ -14,7 +14,7 @@ rss: true
## `deepagents` v0.4

* New integration packages for pluggable sandboxes: [langchain-modal](https://pypi.org/project/langchain-modal/), [langchain-daytona](https://pypi.org/project/langchain-daytona/), and [langchain-runloop](https://pypi.org/project/langchain-daytona/). See [sandboxes guide](/oss/deepagents/sandboxes) and example [data analysis tutorial](/oss/deepagents/data-analysis).
* Changes to [conversation history summarization](/oss/deepagents/harness#conversation-history-summarization):
* Changes to [conversation history summarization](/oss/deepagents/harness#summarization):
* Summarization now happens in the model node via `wrap_model_call` events. Due to this we retain the full message history in the graph state.
* More accurate token counting.
* Summarization will now automatically trigger if a chat model raises a `ContextOverflowError` (defined in `langchain-core`). Currently `langchain-anthropic` and `langchain-openai` support this.
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